a2_division.py

import cv2
import numpy as np

img1 = cv2.imread("input1.jpg")
img2 = cv2.imread("input2.jpg")

# The [1::-1]  gets tuples in the order of (width and height).By calling .shape we get the height,
# width and channel in tuples.
img2 = cv2.resize(img2, img1.shape[1::-1])
# Change the image to a grayscaled image.
img1 = cv2.cvtColor(src=img1, code=cv2.COLOR_BGR2GRAY)     # Image 1
img2 = cv2.cvtColor(src=img2, code=cv2.COLOR_BGR2GRAY)     # Image 2

# Display images.
cv2.imshow("Image 1", img1)
cv2.waitKey(0)
cv2.destroyAllWindows()
cv2.imshow("Image 2", img2)
cv2.waitKey(0)
cv2.destroyAllWindows()

# Grabing the hight and width of the images used (only need to use 1 image in finding the values as
# they both are resized to be the same dimenions as the other).
imageWidth, imageHeight = img1.shape
# The image that will be the result of dividing the 2 input images.
divided_img = np.zeros((imageWidth, imageHeight))

# We will be dividing image1 by image2 (pixel by pixel).
for i in range(imageWidth):
    for j in range(imageHeight):
        # A check for the value of the pixel to avoid division by 0
        if (img2[i][j] == 0):
            calc = 0
        else:
            calc = img1[i][j] / img2[i][j]
        if calc > 255:
            calc = 255
        if calc < 0:
            calc = 0
        divided_img[i][j] = calc
    # PROGRAM STATUS INDICATOR
    print("Running!!!")

# Display processed image.
cv2.imshow("Divided Image", divided_img)
cv2.waitKey(0)
cv2.destroyAllWindows()
# PROGRAM STATUS INDICATOR
print("DONE!")